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Updated: Aug 17, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

实时成像增强手持光声系统与FeRAM交叉阵列基于神经形态设计的手持光声系统

Zhengyuan Zhang, Tiancheng Cao, Siyu Liu

IEEE transactions on biomedical circuits and systems

|March 3, 2025

概括

这项研究引入了一种具有增强分辨率的便携式光声成像 (PAI) 系统. 它集成了一个先进的算法与内存计算实时,高质量的医疗诊断.

科学领域:

生物医学工程生物医学工程
医疗成像医学成像
计算机科学计算机科学

背景情况:

光声成像 (PAI) 系统需要小型化和实时成像,以实现个性化的医疗保健.
由于物理和体积的限制,当前的手持PAI系统的图像质量和分辨率受到限制.
这些局限性阻碍了PAI技术的广泛采用和应用.

研究的目的:

提出一种新的平台,以提高手持PAI系统的实时成像质量.
将MultiResU-Net成像增强算法与铁电随机存储器 (FeRAM) 交叉阵列集成,以提高性能.
优化硬件实现,以在边缘设备上低功耗运行,并模拟硬件变化.

主要方法:

将MultiResU-Net算法与FeRAM交叉条数组集成,用于内存计算.
硬件实现优化为低功耗边缘设备.
开发一种算法策略,以模拟具有O(mn) 时间复杂度的硬件变化.

主要成果:

使用模拟和体内数据证明了可行性和有效性.
在成像分辨率方面取得了超过10倍的改进.
加快神经网络推断到微秒,使实时成像成为可能.
开发了一个紧的,便携式平台 (25×25×20厘米3).

结论:

拟议的平台显著提高了手持PAI系统的性能.
使用FeRAM进行内存计算,可实现实时,高分辨率的成像.
该系统适用于便携式实时诊断应用.

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Light Acquisition

Light Acquisition

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